John J. Grefenstette

According to our database, John J. Grefenstette authored at least 53 papers between 1983 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Detecting critical slowing down in high-dimensional epidemiological systems.

Tobias S. Brett, Marco Ajelli, Quan-Hui Liu, Mary G. Krauland, John J. Grefenstette, Willem G. van Panhuis, Alessandro Vespignani, John M. Drake, Pejman Rohani

PLoS Comput. Biol., 2020

2012

FRED Navigator: An interactive system for visualizing results from large-scale epidemic simulations.

Jack Paparian, Shawn T. Brown, Donald S. Burke, John J. Grefenstette

Proceedings of the 8th IEEE International Conference on E-Science, 2012

2011

Dynamic Simulation of Community Crime and Crime-Reporting Behavior.

Michael A. Yonas, Jeffrey D. Borrebach, Jessica G. Burke, Shawn T. Brown, Katherine D. Philp, Donald S. Burke, John J. Grefenstette

Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2011

2009

On Comparing Neuronal Morphologies with the Constrained Tree-edit-distance.

Todd A. Gillette, John J. Grefenstette

Neuroinformatics, 2009

2006

SNP-PHAGE - High throughput SNP discovery pipeline.

Lakshmi K. Matukumalli, John J. Grefenstette, David L. Hyten, Ik-Young Choi, Perry B. Cregan, Curtis P. Van Tassell

BMC Bioinform., 2006

Application of machine learning in SNP discovery.

Lakshmi K. Matukumalli, John J. Grefenstette, David L. Hyten, Ik-Young Choi, Perry B. Cregan, Curtis P. Van Tassell

BMC Bioinform., 2006

2005

SISTER: a Symbolic Interactionist Simulation of Trade and Emergent Roles.

Deborah Vakas Duong, John J. Grefenstette

J. Artif. Soc. Soc. Simul., 2005

The emulation of social institutions as a method of coevolution.

Deborah Vakas Duong, John J. Grefenstette

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004

EST-PAGE - managing and analyzing EST data.

Lakshmi K. Matukumalli, John J. Grefenstette, Tad S. Sonstegard, Curtis P. Van Tassell

Bioinform., 2004

2003

Inference of large-scale topology of gene regulation networks by neural nets.

Sohyoung Kim, John N. Weinstein, John J. Grefenstette

Proceedings of the IEEE International Conference on Systems, 2003

2001

Comparing Algorithms for Large-Scale Sequence Analysis.

Hadon Nash, Douglas Blair, John J. Grefenstette

Proceedings of the 2nd IEEE International Symposium on Bioinformatics and Bioengineering, 2001

1999

Evolutionary Algorithms for Reinforcement Learning.

David E. Moriarty, Alan C. Schultz, John J. Grefenstette

J. Artif. Intell. Res., 1999

Co-evolution of robotic behaviors.

Robert Daley, Alan C. Schultz, John J. Grefenstette

Proceedings of the Mobile Robots XIV, Boston, 1999

Visual analysis of evolutionary algorithms.

Annie S. Wu, Kenneth A. De Jong, Donald S. Burke, John J. Grefenstette, Connie Loggia Ramsey

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Evolvability in dynamic fitness landscapes: a genetic algorithm approach.

John J. Grefenstette

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998

Putting More Genetics into Genetic Algorithms.

Donald S. Burke, Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey, Annie S. Wu

Evol. Comput., 1998

Genome Length as an Evolutionary Self-adaptation.

Connie Loggia Ramsey, Kenneth A. De Jong, John J. Grefenstette, Annie S. Wu, Donald S. Burke

Proceedings of the Parallel Problem Solving from Nature, 1998

1997

ARIEL: Autonomous Robot for Integrated Exploration and Localization.

Brian Yamauchi, Alan C. Schultz, William Adams, Kevin Graves, John J. Grefenstette, Dennis Perzanowski

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1995

A Coevolutionary Approach to Learning Sequential Decision Rules.

Mitchell A. Potter, Kenneth A. De Jong, John J. Grefenstette

Proceedings of the 6th International Conference on Genetic Algorithms, 1995

1994

Predictive Models Using Fitness Distributions of Genetic Operators.

John J. Grefenstette

Proceedings of the Third Workshop on Foundations of Genetic Algorithms. Estes Park, Colorado, USA, July 31, 1994

1993

Test and Evaluation by Genetic Algorithms.

Alan C. Schultz, John J. Grefenstette, Kenneth A. De Jong

IEEE Expert, 1993

Guest Editor's Introduction.

John J. Grefenstette

IEEE Expert, 1993

Case-Based Initialization of Genetic Algorithms.

Connie Loggia Ramsey, John J. Grefenstette

Proceedings of the 5th International Conference on Genetic Algorithms, 1993

Genetic Algorithms for Tracking Changing Environments.

Helen G. Cobb, John J. Grefenstette

Proceedings of the 5th International Conference on Genetic Algorithms, 1993

Genetic Algorithms and Machine Learning.

John J. Grefenstette

Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993

1992

The Evolution of Strategies for Multiagent Environments.

John J. Grefenstette

Adapt. Behav., 1992

Genetic Algorithms for Changing Environments.

John J. Grefenstette

Proceedings of the Parallel Problem Solving from Nature 2, 1992

An Approach to Anytime Learning.

John J. Grefenstette, Connie Loggia Ramsey

Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

Deception Considered Harmful.

John J. Grefenstette

Proceedings of the Second Workshop on Foundations of Genetic Algorithms. Vail, 1992

Learning Decision Strategies with Genetic Algorithms.

John J. Grefenstette

Proceedings of the Analogical and Inductive Inference, 1992

1991

Learning the Persistence of Actions in Reactive Control Rules.

Helen G. Cobb, John J. Grefenstette

Proceedings of the Eighth International Workshop (ML91), 1991

Lamarckian Learning in Multi-Agent Environments.

John J. Grefenstette

Proceedings of the 4th International Conference on Genetic Algorithms, 1991

1990

Learning Sequential Decision Rules Using Simulation Models and Competition.

John J. Grefenstette, Connie Loggia Ramsey, Alan C. Schultz

Mach. Learn., 1990

Improving tactical plans with genetic algorithms.

Alan C. Schultz, John J. Grefenstette

Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, 1990

Simulation-Assisted Learning by Competition: Effects of Noise Differences Between Training Model and Target Environment.

Connie Loggia Ramsey, John J. Grefenstette, Alan C. Schultz

Proceedings of the Machine Learning, 1990

Explanations of Empirically Derived Reactive Plans.

Diana F. Gordon, John J. Grefenstette

Proceedings of the Machine Learning, 1990

Conditions for Implicit Parallelism.

John J. Grefenstette

Proceedings of the First Workshop on Foundations of Genetic Algorithms. Bloomington Campus, 1990

1989

Incremental Learning of Control Strategies with Genetic algorithms.

John J. Grefenstette

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

Learning by Analogy in Genetic Classifier Systems.

Hayong Harry Zhou, John J. Grefenstette

Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

How Genetic Algorithms Work: A Critical Look at Implicit Parallelism.

John J. Grefenstette, James E. Baker

Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

A System for Learning Control Strategies with Genetic Algorithms.

John J. Grefenstette

Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

1988

Credit Assignment in Rule Discovery Systems Based on Genetic Algorithms.

John J. Grefenstette

Mach. Learn., 1988

Genetic Algorithms in Noisy Environments.

J. Michael Fitzpatrick, John J. Grefenstette

Mach. Learn., 1988

Credit Assignment in Genetic Learning Systems.

John J. Grefenstette

Proceedings of the 7th National Conference on Artificial Intelligence, 1988

1987

A Parallel Genetic Algorithm.

Chrisila C. Pettey, Michael R. Leuze, John J. Grefenstette

Proceedings of the 2nd International Conference on Genetic Algorithms, 1987

Multilevel Credit Assignment in a Genetic Learning System.

John J. Grefenstette

Proceedings of the 2nd International Conference on Genetic Algorithms, 1987

1986

Optimization of Control Parameters for Genetic Algorithms.

John J. Grefenstette

IEEE Trans. Syst. Man Cybern., 1986

1985

Multi-Objective Learning via Genetic Algorithms.

J. David Schaffer, John J. Grefenstette

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

Genetic Algorithms for the Traveling Salesman Problem.

John J. Grefenstette, Rajeev Gopal, Brian J. Rosmaita, Dirk Van Gucht

Proceedings of the 1st International Conference on Genetic Algorithms, 1985

Genetic Search with Approximate Function Evaluation.

John J. Grefenstette, J. Michael Fitzpatrick

Proceedings of the 1st International Conference on Genetic Algorithms, 1985

1984

Corrigendum: Stability in L Systems.

John J. Grefenstette

Theor. Comput. Sci., 1984

1983

Stability in L Systems.

John J. Grefenstette

Theor. Comput. Sci., 1983

Network Structure and the Firing Squad Synchronization Problem.

John J. Grefenstette

J. Comput. Syst. Sci., 1983